One of the main factors in competitive environment is to reduce production costs. Selecting the right\r\nsuppliers significantly reduces the purchasing costs and improves corporate competitiveness. That is\r\nwhy the cost of raw materials and components part constitutes the main cost of a product and most of\r\nthe firms have to spend considerable amount of their sales revenue on purchasing. The aim of this\r\nresearch is to introduce an integrated model for supplier�s selection and order allocation in an\r\nautomotive company. Therefore, the research was divided into two phases (conceptual modeling and\r\nmathematical modeling) with four steps. In conceptual modeling, in order to select the best suppliers,\r\nan integrated, Analytic Hierarchy Procees and Technique for Order Preference by Similarity to Ideal\r\nSolution (AHP-TOPSIS) approach was used. Hence, after library studies and interview with experts,\r\nmanagers and specialists in the supply chain management field, decision criteria were identified\r\nthrough brain storming which contains the main criteria and sub criteria of the selection process for\r\nsuppliers. Then in mathematical modeling in order to allocate every selected supplier in conceptual\r\nmodeling, a Multi-Objective Linear Programming (MOLP) model was used. As such, the objectives and\r\nsubjectives of suppliers and the Automotive Company were identified. Results show that applying a two\r\nphase AHP-TOPSIS methodology aided the selection of the best suppliers. Also Automotive Company�s\r\ntotal costs were minimized with using a MOLP model.
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